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yesj1234/kozh_mbartLarge_100p_run1

sourceHugging Faceupdated 3y agoView on Hugging Face
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kozhmbartLarge100p_run1

This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.1650
  • —Bleu: 54.0268
  • —Gen Len: 13.0483

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • —learning_rate: 5e-05
  • —trainbatchsize: 2
  • —evalbatchsize: 2
  • —seed: 42
  • —distributed_type: multi-GPU
  • —num_devices: 4
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 16
  • —totalevalbatch_size: 8
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 2000
  • —num_epochs: 15
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossBleuGen Len
1.22991.0559061.191952.983613.2017
0.98032.01118131.165054.026813.0483
0.79263.01677191.206754.277913.0623
0.64394.02236261.276754.12213.0537
0.51815.02795321.354653.979613.0586

Framework versions

  • —Transformers 4.35.2
  • —Pytorch 2.1.1+cu121
  • —Datasets 2.15.0
  • —Tokenizers 0.15.0